Systems and methods for report generation

ABSTRACT

A method for generating a report is provided. The method may include acquiring a key word related to an industry field, and acquiring one or more condition values related to the report to be generated. The method may also include determining a report template having one or more data query sections and one or more conclusion sections based on the industry field and the one or more condition values, and acquiring report data based on the one or more data query sections of the report template. The method may further include determining one or more conclusions based on the report data, and generating the report based the data acquired based on the report data, the one or more conclusions, and the template.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No.201910370345.9, filed on May 6, 2019, the content of which is herebyincorporated by reference.

TECHNICAL FIELD

The present disclosure generally relates to systems and methods forgenerating a report, and in particular, to systems and methods forgenerating the report automatically.

BACKGROUND

Databases may have a complex structure, which is not ease-of-use byusers. Users, especially business users, expect to receive a report intheir vocabulary, not the vocabulary of the database via searching thedatabase. While some tools in the marketplace allow a user to define anew and map the new term to one or more existing terms in the database,the tools may be unable to automatically manage and update related newterms. Therefore, it would be desirable to provide systems and methodsfor generating reports based on a database.

SUMMARY

According to one aspect of the present disclosure, a system forgenerating a report may include at least one non-transitory storagemedium including a set of instructions, and at least one processor incommunication with the at least one non-transitory storage medium. Whenexecuting the set of instructions, the at least one processor may beconfigured to direct the system to acquire a key word related to anindustry field, and acquire one or more condition values related to thereport to be generated. The at least one processor may be furtherconfigured to direct the system to determine a report template havingone or more data query sections and one or more conclusion sectionsbased on the industry field and the one or more condition values, andacquire report data based on the one or more data query sections of thereport template. The at least one processor may be also configured todirect the system to determine one or more conclusions based on thereport data, and generate the report based on the acquired report data,the one or more conclusions, and the report template.

In some embodiments, the at least one processor may be furtherconfigured to direct the system to highlight a portion of the content inthe report based on the one or more conclusions.

In some embodiments, at least one of the one or more conclusions may bedetermined based on a trend of a business indicator over a period oftime.

In some embodiments, at least one of the one or more conclusions may bedetermined based on a comparison between a plurality of businessindicators across a same time period.

In some embodiments, at least one of the one or more condition valuesmay be related to a time range or a type of the report to be generated.

In some embodiments, at least one of the one or more conclusions mayinclude an alert. To generate the at least one conclusion, the at leastone processor may be further configured to direct the system todetermine whether a condition regarding the alert is satisfied based onthe report data, and generate the at least one conclusion that includesthe alert in response to a determination that the condition regardingthe alert is satisfied.

In some embodiments, at least one of the one or more conclusion may begenerated based on a trained model.

In some embodiments, the report may be editable. The at least oneprocessor may be further configured to direct the system to receive aninstruction to edit the report from a user, and update the report inresponse to the instruction.

According to another aspect of the present disclosure, a method forgenerating a report may be implemented on a computing device having atleast one processor and at least one storage device. The method mayinclude acquiring a key word related to an industry field, and acquiringone or more condition values related to the report to be generated. Themethod may also include determining a report template having one or moredata query sections and one or more conclusion sections based on theindustry field and the one or more condition values, and acquiringreport data based on the one or more data query sections of the reporttemplate. The method may further include determining one or moreconclusions based on the report data, and generating the report based onthe acquired report data, the one or more conclusions, and the reporttemplate.

According to yet another aspect of the present disclosure, anon-transitory computer readable medium may include a set ofinstructions for generating a report. When executed by at least oneprocessor, the set of instructions may direct the at least one processorto effectuate a method. The method may include acquiring a key wordrelated to an industry field, and acquiring one or more condition valuesrelated to the report to be generated. The method may also includedetermining a report template having one or more data query sections andone or more conclusion sections based on the industry field and the oneor more condition values, and acquiring report data based on the one ormore data query sections of the report template. The method may furtherinclude determining one or more conclusions based on the report data,and generating the report based on the acquired report data, the one ormore conclusions, and the report template.

Additional features will be set forth in part in the description whichfollows, and in part will become apparent to those skilled in the artupon examination of the following and the accompanying drawings or maybe learned by production or operation of the examples. The features ofthe present disclosure may be realized and attained by practice or useof various aspects of the methodologies, instrumentalities, andcombinations set forth in the detailed examples discussed below.

BRIEF DESCRIPTION OF THE DRAWINGS

The present disclosure is further described in terms of exemplaryembodiments. These exemplary embodiments are described in detail withreference to the drawings. These embodiments are non-limiting exemplaryembodiments, in which like reference numerals represent similarstructures throughout the several views of the drawings, and wherein:

FIG. 1 is a schematic diagram illustrating an exemplary reportgeneration system according to some embodiments of the presentdisclosure;

FIG. 2 is a schematic diagram illustrating exemplary hardware and/orsoftware components of a computing device according to some embodimentsof the present disclosure;

FIG. 3 is a block diagram illustrating an exemplary report generationsystem according to some embodiments of the present disclosure;

FIG. 4 is a block diagram illustrating an exemplary interface of aterminal according to some embodiments of the present disclosure;

FIG. 5 is a flowchart illustrating an exemplary process for generatingan industry chain graph according to some embodiments of the presentdisclosure;

FIG. 6 is a flowchart illustrating an exemplary process for generating areport according to some embodiments of the present disclosure; and

FIG. 7 is a schematic diagram illustrating exemplary components in areal estate industry according to some embodiments of the presentdisclosure.

DETAILED DESCRIPTION

In the following detailed description, numerous specific details are setforth by way of examples in order to provide a thorough understanding ofthe relevant disclosure. However, it should be apparent to those skilledin the art that the present disclosure may be practiced without suchdetails. In other instances, well-known methods, procedures, systems,components, and/or circuitry have been described at a relativelyhigh-level, without detail, in order to avoid unnecessarily obscuringaspects of the present disclosure. Various modifications to thedisclosed embodiments will be readily apparent to those skilled in theart, and the general principles defined herein may be applied to otherembodiments and applications without departing from the spirit and scopeof the present disclosure. Thus, the present disclosure is not limitedto the embodiments shown, but to be accorded the widest scope consistentwith the claims.

In the following detailed description, numerous specific details are setforth by way of examples in order to provide a thorough understanding ofthe relevant disclosure. However, it should be apparent to those skilledin the art that the present disclosure may be practiced without suchdetails. In other instances, well-known methods, procedures, systems,components, and/or circuitry have been described at a relativelyhigh-level, without detail, in order to avoid unnecessarily obscuringaspects of the present disclosure. Various modifications to thedisclosed embodiments will be readily apparent to those skilled in theart, and the general principles defined herein may be applied to otherembodiments and applications without departing from the spirit and scopeof the present disclosure. Thus, the present disclosure is not limitedto the embodiments shown, but to be accorded the widest scope consistentwith the claims.

The terminology used herein is for the purpose of describing particularexample embodiments only and is not intended to be limiting. As usedherein, the singular forms “a,” “an,” and “the” may be intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprise,”“comprises,” and/or “comprising,” “include,” “includes,” and/or“including,” when used in this specification, specify the presence ofstated features, integers, steps, operations, elements, and/orcomponents, but do not preclude the presence or addition of one or moreother features, integers, steps, operations, elements, components,and/or groups thereof.

It will be understood that the term “system,” “engine,” “unit,”“module,” and/or “block” used herein are one method to distinguishdifferent components, elements, parts, section or assembly of differentlevel in ascending order. However, the terms may be displaced by anotherexpression if they achieve the same purpose.

Generally, the word “module,” “unit,” or “block,” as used herein, refersto logic embodied in hardware or firmware, or to a collection ofsoftware instructions. A module, a unit, or a block described herein maybe implemented as software and/or hardware and may be stored in any typeof non-transitory computer-readable medium or another storage device. Insome embodiments, a software module/unit/block may be compiled andlinked into an executable program. It will be appreciated that softwaremodules can be callable from other modules/units/blocks or fromthemselves, and/or may be invoked in response to detected events orinterrupts. Software modules/units/blocks configured for execution oncomputing devices (e.g., processor 205 as illustrated in FIG. 2 ) may beprovided on a computer-readable medium, such as a compact disc, adigital video disc, a flash drive, a magnetic disc, or any othertangible medium, or as a digital download (and can be originally storedin a compressed or installable format that needs installation,decompression, or decryption prior to execution). Such software code maybe stored, partially or fully, on a storage device of the executingcomputing device, for execution by the computing device. Softwareinstructions may be embedded in firmware, such as an EPROM. It will befurther appreciated that hardware modules/units/blocks may be includedin connected logic components, such as gates and flip-flops, and/or canbe included of programmable units, such as programmable gate arrays orprocessors. The modules/units/blocks or computing device functionalitydescribed herein may be implemented as software modules/units/blocks,but may be represented in hardware or firmware. In general, themodules/units/blocks described herein refer to logicalmodules/units/blocks that may be combined with othermodules/units/blocks or divided into sub-modules/sub-units/sub-blocksdespite their physical organization or storage. The description may beapplicable to a system, an engine, or a portion thereof.

It will be understood that when a unit, engine, module or block isreferred to as being “on,” “connected to,” or “coupled to,” anotherunit, engine, module, or block, it may be directly on, connected orcoupled to, or communicate with the other unit, engine, module, orblock, or an intervening unit, engine, module, or block may be present,unless the context clearly indicates otherwise. As used herein, the term“and/or” includes any and all combinations of one or more of theassociated listed items. The term “user” in the present disclosure mayrefer to any individual (e.g., an investment analyst, an investor, afinancial planner, a financial analyst) or entity (e.g., a financialorganization) needs to generate a report regarding a certain industryfield.

An aspect of the present disclosure relates to systems and methods forgenerating a report automatically. The report may be generated based ona logical relationship between data and investment conclusions. The datamay include data of an industry, data of the upstream and the downstreamof the industry, data of a company of each component in the upriver anddownstream of the industry. The investment conclusions may include anexpansionary path, an actual price, earnings rate of a company in anindustry, or the like, or any combination thereof. The investmentconclusions may be determined based on historical data. The historicaldata may include data of an industry, data of upriver and downstream ofthe industry, data of a company of each component in the upstream anddownstream in a previous time point (3 P.M. in last Monday) or aprevious period of time (a day, a week, a mouth, a quarter, a year,etc.)

FIG. 1 is a schematic diagram illustrating an exemplary reportgeneration system 100 according to some embodiments of the presentdisclosure. The report generation system 100 may include a network 110,a storage device 120, a server 130, and a terminal 140.

In some embodiments, the network 110 may facilitate the exchange ofinformation and/or data in the report generation system. In someembodiments, one or more components of the report generation system 100(e.g., the storage device 120, the server 130, and/or the terminal 140)may transmit information and/or data to another component (s) of thereport generation system 100 via the network 110. For example, theserver 130 may receive data from the storage device 120 via the network110. As another example, the server 130 may send a report to theterminal 140 via the network 110.

In some embodiments, the network 110 may be any type of wired orwireless network, or combination thereof. Merely by way of example, thenetwork 110 may include a cable network, a wireline network, an opticalfiber network, a telecommunications network, an intranet, an Internet, alocal area network (LAN), a wide area network (WAN), a wireless localarea network (WLAN), a metropolitan area network (MAN), a publictelephone switched network (PSTN), a Bluetooth network, a ZigBeenetwork, a near field communication (NFC) network, or the like, or acombination thereof. In some embodiments, the network 110 may includeone or more network access points. For example, the network 110 mayinclude wired or wireless network access points such as base stationsand/or internet exchange points, through which one or more components ofthe report generation system 100 may be connected to the network 110 toexchange data and/or information.

The storage device 120 may store data and/or instructions. In someembodiments, the storage device 120 may store data obtained from thenetwork 110, terminal 140, and/or the server 130. For example, thestorage device 120 may store data acquired from the network 110. In someembodiments, the storage device 120 may store data and/or instructionsthat the server 130 may execute or use to perform exemplary methodsdescribed in the present disclosure. In some embodiments, the storagedevice 120 may include a mass storage device, removable storage device,a volatile read-and-write memory, a read-only memory (ROM), or the like,or a combination thereof. Exemplary mass storage devices may include amagnetic disk, an optical disk, solid-state drives, etc. Exemplaryremovable storage devices may include a flash drive, a floppy disk, anoptical disk, a memory card, a zip disk, a magnetic tape, etc. Exemplaryvolatile read-and-write memory may include random-access memory (RAM).Exemplary RAM may include a dynamic RAM (DRAM), a double date ratesynchronous dynamic RAM (DDR SDRAM), a static RAM (SRAM), a thyristorRAM (T-RAM), and a zero-capacitor RAM (Z-RAM), etc. Exemplary ROM mayinclude a mask ROM (MROM), a programmable ROM (PROM), an erasableprogrammable ROM (EPROM), an electrically-erasable programmable ROM(EEPROM), a compact disk ROM (CD-ROM), and a digital versatile disk ROM,etc. In some embodiments, the storage device 120 may be implemented on acloud platform. Merely by way of example, the cloud platform may includea private cloud, a public cloud, a hybrid cloud, a community cloud, adistributed cloud, an inter-cloud, a multi-cloud, or the like, or acombination thereof.

In some embodiments, the storage device 120 may be connected to thenetwork 110 to communicate with one or more components of the reportgeneration system 100 (e.g., the server 130 or the terminal 140). One ormore components of the report generation system 100 may access the dataor instructions stored in the storage device 120 via the network 110. Insome embodiments, the storage device 120 may be directly connected to orcommunicate with one or more components of the report generation system100 (e.g., the server 130 and/or the terminal 140). In some embodiments,the storage device 120 may be part of the server 130.

In some embodiments, one or more components of the report generationsystem 100 (e.g., the server 130, the terminal 140) may have permissionsto access the storage device 120. In some embodiments, one or morecomponents of the report generation system 100 may read and/or modifyinformation when one or more conditions are met.

In some embodiments, the server 130 may be a single server or a servergroup. The server group may be centralized, or distributed (e.g., theserver 130 may be a distributed system). In some embodiments, the server130 may be local or remote. For example, the server 130 may accessinformation and/or data stored in the terminal 140, the server 130 viathe network 110. As another example, the server 130 may be directlyconnected to the terminal 140 and/or the server 130 to access storedinformation and/or data. In some embodiments, the server 130 may beimplemented on a cloud platform. Merely by way of example, the cloudplatform may include a private cloud, a public cloud, a hybrid cloud, acommunity cloud, a distributed cloud, an inter-cloud, a multi-cloud, orthe like, or a combination thereof. In some embodiments, the server 130may be implemented on a computing device 200 having one or morecomponents illustrated in FIG. 2 .

In some embodiments, the server 130 may include one or more processingdevices (e.g., single-core processing device(s) or multi-coreprocessor(s)). Merely by way of example, the server 130 may include acentral processing unit (CPU), an application-specific integratedcircuit (ASIC), an application-specific instruction-set processor(ASIP), a graphics processing unit (GPU), a physics processing unit(PPU), a digital signal processor (DSP), a field-programmable gate array(FPGA), a programmable logic device (PLD), a controller, amicrocontroller unit, a reduced instruction-set computer (RISC), amicroprocessor, or the like, or a combination thereof.

In some embodiments, the terminal 140 may enable a user interactionbetween a user and one or more components of the report generationsystem 100. For example, as shown in FIG. 1 , the terminal 140 mayinclude a tablet computer 140-1, a mobile device 140-2, a laptopcomputer 140-3, or the like, or a combination thereof. In someembodiments, the mobile device 140-2 may include a smart home device, awearable device, a smart mobile device, an augmented reality device, orthe like, or a combination thereof. In some embodiments, the wearabledevice may include a smart bracelet, a smart footgear, smart glasses, asmart helmet, a smart watch, smart clothing, a smart backpack, a smartaccessory, or the like, or a combination thereof. In some embodiments,the smart mobile device may include a smartphone, a personal digitalassistant (PDA), a gaming device, a navigation device, a point of sale(POS) device, or the like, or a combination thereof.

FIG. 2 is a schematic diagram illustrating exemplary hardware and/orsoftware components of a computing device according to some embodimentsof the present disclosure. The computing device 200 may be used toimplement any component of the report generation system 100 as describedherein. For example, the server 130 may be implemented on the computingdevice 200, via its hardware, software program, firmware, or acombination thereof. Although only one such computer is shown, forconvenience, the computer functions relating to the drowsiness detectionas described herein may be implemented in a distributed fashion on anumber of similar platforms to distribute the processing load.

The computing device 200, for example, may include a communication (COM)port 211 connected to and from a network connected thereto to facilitatedata communications. The computing device 200 may also include aprocessor 205, in the form of one or more processors (e.g., logiccircuits), for executing program instructions. For example, theprocessor 205 may include interface circuits and processing circuitstherein. The interface circuits may be configured to receive electronicsignals from a bus 201, wherein the electronic signals encode structureddata and/or instructions for the processing circuits to process. Theprocessing circuits may conduct logic calculations, and then determine aconclusion, a result, and/or an instruction encoded as electronicsignals. Then the interface circuits may send out the electronic signalsfrom the processing circuits via the bus 201.

The computing device 200 may further include program storage and datastorage of different forms including, for example, a hard disk 208, anda read-only memory (ROM) 206, or a random access memory (RAM) 207, forvarious data files to be processed and/or transmitted by the computingdevice. The exemplary computer platform may also include programinstructions stored in the ROM 206, RAM 207, and/or another type ofnon-transitory storage medium to be executed by the processor 205. Themethods and/or processes of the present disclosure may be implemented asthe program instructions. The computing device 200 also includes an I/Ocomponent 209, supporting input/output between the computer and othercomponents. The computing device 200 may also receive programming anddata via network communications.

Merely for illustration, only one processor is described in FIG. 2 .Multiple processors are also contemplated. Thus operations and/or methodsteps performed by one processor as described in the present disclosuremay also be jointly or separately performed by the multiple processors.For example, if in the present disclosure the processor of the computingdevice 200 executes both step A and step B, it should be understood thatstep A and step B may also be performed by two different processorsjointly or separately in the computing device 200 (e.g., the firstprocessor executes step A and the second processor executes step B, orthe first and second processors jointly execute steps A and B).

FIG. 3 is a block diagram illustrating an exemplary report generationsystem 100 according to some embodiments of the present disclosure. Thereport generation system 100 may include a data storage engine 310, adata acquisition engine 320 and a data analysis engine 330.

In some embodiments, the data storage engine 310 may be configured tostore data. In some embodiments, the data storage engine 310 may includean industry field storage module 311, an industry data storage module312, and a component data storage module 313. The industry field storagemodule 311 may store a plurality of industry fields (e.g., real estate,food service, cosmetics, apparel, tourism, internet, office suppliesindustry, electronics, daily necessities, communications equipment,toys, jewelry, etc.). The industry data storage module 312 may store anyeconomic index corresponding to the industry field. The component datastorage module 313 may store data relating to a plurality of componentsin an industry field. The component data may include any index of eachcomponent of the industry field. For example, the component data may bean economic benefit of concrete.

The data acquisition engine 320 may be configured to acquire data. Insome embodiments, the data acquisition engine 320 may include anindustry field acquire module 321, an industry data acquisition module312, and a component data acquisition module 323. In some embodiments,the data acquisition engine 320 may acquire data from the data storageengine 310 or an external storage device. In some embodiments, the dataacquisition engine 320 may acquire data from the storage device 120and/or the terminal 140 via the network 110.

The data analysis engine 330 may be configured to analyze data. The dataanalysis engine 330 may include a component construction module 331, alogical relationship construction module 332, and a report generationmodule 333. The component construction module 331 may be configured todetermine one or more components in an industry chain of the industryfield. For example, the one or more components in an industry chain ofreal estate may include building materials, building design, land, realestate financing, real estate operating, decoration, or the like, or anycombination thereof.

The logical relationship construction module 332 may be configured toconstruct a logical relationship between data and an investmentconclusion. In some embodiments, the data may include industry data andcomponent data. In some embodiments, the data may be intermediate dataacquired based on the industry data and the component data. For example,the intermediate data may be about the liquidity of a company determinedbased on financial data of the company. Exemplary investment conclusionsmay include an expansionary path, an actual price, an earnings rate of acompany in an industry, or the like, or any combination thereof. In someembodiments, the investment conclusion(s) may be determined based onhistorical data.

The report generation module 333 may be configured to generate a report.The report may be a weekly report, a monthly report, an annual report, acomment report, an event review report, or the like, or any combinationthereof, of a company, a component of an industry chain, or the wholeindustry. In some embodiments, the report may include a plurality ofgraphs and/or text descriptions. In some embodiments, the report may beupdated when the data based on which the report is generated haschanged, e.g., in real time. In some embodiments, the report may beeditable. Specifically, the user may edit the report via a userapplication installed on a terminal (e.g., the terminal 140). In someembodiment, the user may add new content or delete some content in thereport. For example, the user may add a graph which is related to thetrend of housing sales. In some embodiment, the user may be forbiddenfrom editing certain content in the report via the application installedon the terminal.

In some embodiments, the modules in the report generation system 100 maybe connected to or communicate with each other via a wired connection ora wireless connection. The wired connection may include a metal cable,an optical cable, a hybrid cable, or the like, or a combination thereof.The wireless connection may include a Local Area Network (LAN), a WideArea Network (WAN), a Bluetooth, a ZigBee, a Near Field Communication(NFC), or the like, or a combination thereof. In some embodiments, amodule of the report generation system 100 may be implemented on one ormore components as described in connection with FIGS. 1 and 2 . Two ormore of the modules may be combined into a single module, and any one ofthe modules may be divided into two or more units. Additionally oralternatively, the report generation system 100 may include one or moreadditional components and/or one or more of the components describedabove may be omitted.

FIG. 4 is a block diagram illustrating an exemplary interface of a userapplication according to some embodiments of the present disclosure. Theuser application may be installed in a terminal (e.g., the terminal140). The interface of the user application may include an industrychain interface 410, a visualized data interface 420, a reportgeneration interface 430, and a public opinion monitoring interface 440.In some embodiments, the user application may be downloaded to theterminal from the server 130. In some embodiments, the user applicationmay be obtained from a storage device (e.g., a CD) that stores the userapplication.

The industry chain interface 410 may be configured to display theindustry chain of an industry field. For example, the industry chain ofreal estate industry may include building materials, building design,land, real estate financing, real estate operating, decoration, or thelike, or any combination thereof.

In some embodiments, the industry chain interface 410 may furtherdisplay a relationship between components in an industry chain. Forexample, the upstream in an industry chain of the real estate industrymay be building materials and land, and the downstream of the industrychain may be real estate operating and decoration. In some embodiments,the relationship between components in an industry chain may berepresented by a plurality of lines. For example, a real estate companyand a consumer may loan from a bank, respectively, to buy housing. So,there may be a line between the real estate company and the bank andanother line between the bank and the consumer. In some embodiments, theline may be a directional line that indicates a direction (e.g., themoney flows from the bank to the real estate company).

The visualized data interface 420 may be configured to display data. Thedata may include industry data and/or component data. The industry dataof an industry field may include any economic index corresponding to theindustry field. For example, the industry data of the real estateindustry may include a nationwide average sales volume of housing, anationwide housing inventory or the like, or any combination thereof.Additionally or alternatively, the industry data of the real estateindustry may include a price trend, and a prevailing mortgage rate, orthe like. The component data of an industry field may include any indexof a component in the industry chain of the industry field. For example,the component data of a component may include an economic benefit of thecomponent. In some embodiments, the data may be displayed on a same pageas the industry chain on the industry chain interface 410. For example,the component data of a certain component may be displayed nearby thecertain component on the industry chain interface 410. In someembodiments, the data may be displayed on an independent page. Forexample, when the user selects a component in the industry chain, theindustry chain interface 410 may enter the visualized data interface 420to display the component data of the selected component.

In some embodiments, the data may be displayed in a graph, an image, atext, or the like, or any combination thereof. In some embodiments, thedisplayed data may be editable. Specifically, a user may edit thedisplayed data via a user application installed on a terminal (e.g., theterminal 140). In some embodiment, the user may add new data or deletethe displayed data displayed on the visualized data interface 420. Forexample, the user may add a graph which is related to a trend of housingsales. In some embodiment, the user may set the format (e.g., a graphtemplate, add or delete an index, font, color, etc.) of the displayeddata. For example, the user may change a column graph of a trend ofsecond-hand housing sales into a line graph.

The report generation interface 430 may be configured to display areport. The report may be a weekly report, a monthly report, an annualreport, a comment report, an event review report, or the like, or anycombination thereof, of a company, a component in an industry chain ofan industry field, or the whole industry field. In some embodiments, thereport may include a plurality of graphs and/or text descriptions. Insome embodiments, the report may be updated when the data based on whichthe report is generated has changed, e.g., in real time. In someembodiments, the report may be editable. Specifically, a user may editthe report via a user application installed on a terminal (e.g., theterminal 140). In some embodiment, the user may add new content ordelete some content in the report. For example, the user may add acomment regarding investment, a target price of a stock, a forecastprice of the stock, or the like, or any combination thereof. In someembodiment, the user may set the format (e.g., a graph template, font,color, etc.) of the report. For example, the user may change a columngraph of a trend of second-hand housing sales into a line graph.

The public opinion monitoring interface 440 may be configured to displayone or more public opinions. Exemplary public opinions may include newsand/or a public remark of an industry, a company, the global economy, orthe like, or any combination thereof.

FIG. 5 is a flowchart illustrating an exemplary process for generatingan industry chain according to some embodiments of the presentdisclosure. In some embodiments, the process 500 may be implemented as aset of instructions (e.g., an application) stored in a storage device(e.g., the storage device 120, the ROM 206, and/or RAM 207). Theprocessor 205 and/or one or more engines in FIG. 3 may execute the setof instructions, and when executing the instructions, the processor 205and/or the one or more engines in FIG. 3 may be configured to performthe process 500. The operations of the illustrated process present beloware intended to be illustrative. In some embodiments, the process 500may be accomplished with one or more additional operations not describedand/or without one or more of the operations herein discussed.Additionally, the order in which the operations of the process asillustrated in FIG. 5 and described below is not intended to belimiting.

The term “industry chain graph” in the present disclosure may refer to agraphic or a non-graphic structure indicating an industry chain of anindustry. The industry chain of the industry field may indicate one ormore activities related to the industry field. The industry chain mayinclude one or more components that represent entities engaged in theindustry field. For example, the one or more components in an industrychain of real estate may include a building material supply component, abuilding design component, a building construction component, a landsupply component, a real estate financing component, a real estateoperating component, a decoration component, or the like, or anycombination thereof. The building design component may relate to thedesign of a building. The land supply component may relate to a landsupply for building reconstruction. The real estate financing componentmay relate to financing activity of the real estate industry.

In some embodiments, a component in an industry chain may include one ormore sub-components. Merely by way of example, a component or asub-component may include one or more companies or organizations relatedto the component or the sub-component. For example, the buildingmaterial supply component may relate to material supply for buildingreconstruction, such as supply of steel, supply of cement, supply ofglass, supply of zinc, supply of aluminum, etc., and here, the buildingmaterial supply component may include a sub-component of steel supply, asub-component of cement supply, a sub-component of glass supply, asub-component of zinc supply, a sub-component of aluminum supply, or thelike, or any combination thereof.

In some embodiments, the industry chain graph of an industry may berepresented by one or more visual indicators indicating a contextualrelationship(s) between the one or more components in the industry.Additionally or alternatively, the industry chain graph may berepresented by computer codes encoding the contextual relationship(s)between the one or more components in the industry. In some embodiments,an industry chain graph represented by one or more visual indicators mayinclude one or more nodes and one or more segments. A segment may linktwo different nodes (i.e., two different components).

In 510, the server 130 (e.g., the data acquisition engine 320) mayacquire a key word related to an industry field. The industry field maybe any fields corresponding to real estate, food service, cosmetics,apparel, tourism, internet, office supplies industry, electronics, dailynecessities, communications equipment, toys, jewelry, outside theautomotive, home appliances, healthcare, new energy resources, movie andTV media, Hadoop, logistics, or the like, or any combination thereof. Auser may input the key word related to the industry field via a userterminal. The user input may be in the format including but not limitedto numbers, characters, symbols, text, sound, graphics, images, video,or the like, or a combination thereof. In some embodiments, the industryfield may be acquired from the storage device 120 or the terminal 140via the network 110. For example, the industry field may be set by auser using the terminal 140 and acquired by the server 130 via thenetwork 110. As another example, the key word related to the industryfield may be stored in the storage device 120 (or industry field storagemodule 311) and acquired by the server 130 via the network 110.

In 520, the server 130 (e.g., the data acquisition engine 320) mayretrieve industry data corresponding to the industry field based on thekey word related to the industry field. The server 130 may retrieve theindustry data corresponding to the industry field based on the key wordrelated to the industry field via the network 110. The server 130 mayretrieve one or more information sources to obtain the industry datacorresponding to the industry field. The one or more information sourcesmay include a dictionary, news of the industry field or relevantcompanies in the industry field, a research report of the industry fieldor relevant companies in the industry field, an announcement of theindustry field or the relevant companies in the industry field, aproduct manual of the industry field, a web page of relevant industrywebsites, or the like, or any combination thereof. In some embodiments,the industry data may include one or more economic indexes relating tothe industry field. For example, the real estate industry data mayinclude a nationwide average sales volume of housing, a nationwidehousing inventory, or the like, or any combination thereof.

In some embodiments, the industry data may be pre-stored and acquiredfrom the storage device 120 or the terminal 140 via the network 110. Theserver 130 may regularly or irregularly update the industry data. Forexample, the data may be stored in the storage device 120 (or theindustry data storage module 312) and acquired by the server 130 via thenetwork 110.

In 530, the server 130 (e.g., the data analysis engine 330) maydetermine one or more components in an industry chain of the industryfield. The industry chain of the industry field may include one or moreactivities related to the industry field. For example, the one or morecomponents in an industry chain of real estate may include a buildingmaterial supply component, a building design component, a buildingconstruction component, a land supply component, a real estate financingcomponent, a real estate operating component, a decoration component, orthe like, or any combination thereof. Optionally, a component in theindustry chain may include one or more sub-components. A component or asub-component may include one or more companies or organizations relatedto the component or the sub-component. For example, the buildingmaterial supply component may relate to material supply for buildingreconstruction, such as supply of steel, supply of cement, supply ofglass, supply of zinc, supply of aluminum, etc., and the buildingmaterial supply component may further include a sub-component of steelsupply, a sub-component of cement supply, a sub-component of glasssupply, a sub-component of zinc supply and a sub-component of aluminumsupply. The building design component may relate to the design of abuilding. The land supply component may relate to a land supply forbuilding reconstruction. The real estate financing component may relateto the financing activity of the real estate industry. The real estateoperating component may relate to the real estate trade. The buildingmaterial supply component or a sub-component of the building materialsupply component may include one or more companies related to thecomponent or the sub-component.

In some embodiments, the server 130 may determine the one or morecomponents based on the industry data or the one or more informationsources of the industry field, then determine the one or moresub-components based on the one or more components and the industry dataor the one or more information sources. For example, after acquiring akey word related to an industry field, the server 130 may determine oneor more synonyms of the key word and determine a key word group relatedto the industry field based on the key word and the one or more synonymsof the key word. Then the server 130 may retrieve and analyzeinformation related to the key word group of the industry field todetermine the one or more components of the industry. For example, ifthe server 130 retrieves a sentence “material supply seriously impactson the real estate recently” from a report of the one or moreinformation source, the server 130 may determine the “material supply”as a component of the industry chain of the real estate. For anotherexample, if the server 130 retrieves 5,000 articles related to the realestate based on the key word and the one or more synonyms of the keyword, and more than 50% of these articles contain the word “materialsupply”, the server 130 may determine the “material supply” as acomponent of the industry chain of the real estate. In some embodiments,the server 130 may assign different weights based on the publisher ofthe one or more information sources.

In 540, the server 130 (e.g., the data analysis engine 330) mayconstruct one or more links between the one or more components in theindustry chain based on the one or more information sources. A linkbetween a component A and a component B may represent a certainrelationship (e.g., a contextual relationship, a temporal relationship)between the component A and the component B. For example, if the server130 retrieves a sentence “material supply seriously impacts on buildingreconstruction,” the server 130 may determine a link between thematerial supply component and the real estate component determined inOperation 530.

In some embodiments, the link may further include a direction. A linkfrom a component A to a component B may indicate that resource(s)related to the component A is supplied to the component B. Theresource(s) may include materials, capital, energy, services, staff,knowledge, or other assets. The server 130 may semantically analyze theinformation from the one or more information sources to determine thedirection of a link. In some embodiments, the server 130 may determinethe direction of the link based on a certain verb in a sentence thatrelates to the two components. For example, in the sentence “materialsupply seriously impacts building reconstruction,” the server 130 maydetermine the direction of the link connecting the material supplycomponent and the real estate component based upon the verb “impacts.”In some embodiments, there may be two links with different directionsbetween two components.

In some embodiments, the one or more links between the one or morecomponents may be pre-stored and acquired from the storage device 120 orthe terminal 140 via the network 110. The server 130 may regularly orirregularly update the one or more links between the one or morecomponents. For example, the data may be stored in the storage device120 (or industry data storage module 312) and acquired by the server 130via the network 110.

In 550, the server 130 (e.g., the data analysis engine 330) may generatean industry chain graph related to the industry field based on the oneor more components and the one or more links. The industry chain graphmay include one or more indicators representing the one or morecomponents and one or more lines linking the components representing theone or more links. In some embodiments, an indicator related to acomponent may include one or more companies related to the component.For example, by clicking an indicator representing the building materialsupply component, a list of companies related to the building materialsupply may be displayed near the indicator representing the buildingmaterial supply component. Optionally, the list may provide a hyperlinkdirected to a page including industry data related to a company relatedto the building material supply. Industry data of a company may includecompany information, annual revenue and/or profits, monthly revenueand/or profits, or the like, or any combination thereof.

In some embodiments, an indicator related to a component may provideindustry data related to the component. For example, by clicking theindicator representing the land supply component, a graph or a form ofindustry data related to the land supply component may be displayed nearthe indicator representing the land supply component. Industry data ofland supply component may include an annual or yearly land supply amountfor building reconstruction, an annual or yearly land price, or thelike, or any combination thereof.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure. In someembodiments, one or more other optional operations may be omitted in theexemplary process 500.

FIG. 6 is a flowchart illustrating an exemplary process for generating areport of an industry field according to some embodiments of the presentdisclosure. In some embodiments, the process 600 may be implemented as aset of instructions (e.g., an application) stored in the ROM 206, RAM207, processor 205 and/or one or more engines in FIG. 3 may execute theset of instructions, and when executing the instructions, the processor205 and/or the engines in FIG. 3 may be configured to perform theprocess 600. The operations of the illustrated process present below areintended to be illustrative. In some embodiments, the process 600 may beaccomplished with one or more additional operations not described and/orwithout one or more of the operations herein discussed. Additionally,the order in which the operations of the process as illustrated in FIG.6 and described below is not intended to be limiting.

In 610, the server 130 may determine an industry field. In someembodiments, the server 130 (e.g., the data acquisition engine 320) mayacquire a key word related to an industry field. The industry field maybe any fields corresponding to real estate, food service, cosmetics,apparel, tourism, internet, office supplies industry, electronics, dailynecessities, communications equipment, toys, jewelry, outside theautomotive, home appliances, healthcare, new energy resources, movie andTV media, Hadoop, logistics, or the like, or any combination thereof. Insome embodiments, a user may input the key word related to the industryfield via a user terminal. The user input may be in the format includingbut not limited to numbers, characters, symbols, text, sound, graphics,images, video, or the like, or a combination thereof. In someembodiments, the industry field may be acquired from the storage device120 or the terminal 140 via the network 110. For example, the industryfield may be set by a user using the terminal 140 and acquired by theserver 130 via the network 110. As another example, the key word relatedto the industry field may be stored in the storage device 120 (orindustry field storage module 311) and acquired by the server 130 viathe network 110.

In some embodiments, the industry field may be inputted by a user viathe terminal 140. The user may input the industry field via a typinginput, a hand input, a voice input, a picture input, etc. In someembodiments, the industry field may be selected by a user via theterminal 140 from a plurality of industry fields. For example, a userapplication installed on the terminal 140 may show the plurality ofindustry fields including real estate, food service, cosmetics, apparel,tourism, internet, office supplies industry, electronics, dailynecessities, communications equipment, etc. Then the user may select thereal estate industry field from the plurality of industry fields via theterminal 140.

In 620, the server 130 (e.g., the data acquisition engine 320) mayacquire one or more condition values related to a report to begenerated. A condition value may be related to a type of report to begenerated. In some embodiments, the condition value may be related to ageneral time range of the report to be generated. For example, the typeof the report to be generated may include an annual report, a quarterlyreport, a monthly report, etc. In some embodiments, the condition valuemay be related to a specific time range of the report to be generated.For example, the time range may be related to a period from May 12,2018, to Jun. 11, 2018. In some embodiments, the condition value may berelated to the content of the report to be generated. For example, thetype of the report to be generated may include a report with respect toa company, a report with respect to an event, a report with respect to areview of an industry field, or the like, or any combination thereof.

In some embodiments, the one or more condition values may be inputted bya user via the terminal 140. The user may input the condition value(s)via a typing input, a hand input, a voice input, a picture input, etc.In some embodiments, the condition value(s) may be selected by a uservia the terminal 140 from a plurality of condition values. For example,a user application installed on the terminal 140 may show the pluralityof condition values corresponding to different types of reports. Thenthe user may select a desired condition value from the plurality ofcondition values via the terminal 140.

In 630, the server 130 (e.g., the data analysis engine 330) maydetermine a report template based on the industry field and the one ormore condition values. For example, the report template may include oneor more data query sections, one or more analysis sections, and one ormore conclusion sections, or the like, or any combination thereof. Areport template may refer to a preset structured text describing one ormore business concepts related to the industry field. For example, aretail industry field might be related to two business concepts: marketand product. The market may include a plurality of sales regions, eachsale region may include several states, each of which consists of a setof stores. The product may include a set of departments (homeelectronics, men's clothing, hardware), each department may include aplurality of product categories (shirts, shoes, slacks), and eachcategory may include individual manufacturer's product lines. In someembodiments, a business concept in the report template may include oneor more business indicators related to the business concept. Forexample, a business indicator may include product volume, price, orcurrent stock.

In some embodiments, the report template may include one or more dataquery sections related to the one or more business indicators. A dataquery section may be a blank in the structured text including a dataquery command for loading corresponding data in the data query section.For example, the report template may include a structured text “Theprice for product A is [data query section],” wherein the “[data querysection]” corresponds to the price for product A.

In some embodiments, the report template may include one or moreconclusion sections. A conclusion section may be a blank in thestructured text including a command for generating and/or loading aconclusion related to the one or more business indicators. In someembodiments, the conclusion may be related to a trend for a specificbusiness indicator or indicators over a specified period of time. Insome embodiments, the conclusion may include a comparison between valuesof two business indicators across the same time period and/or acomparison between values of a same business indicator across two timesegments across the same time period.

In 640, the server 130 (e.g., the data acquisition engine 320) mayacquire report data based on the one or more data query sections of thereport template. The server 130 may acquire the report data based on thedata query command corresponding to the data query sections. In someembodiments, the report data may be acquired from the storage device 120and/or the terminal 140 via the network 110. For example, link datarelated to an industry field may be stored in the storage device 120 (ordata storage engine 310) and acquired by the server 130 via the network110. In some embodiments, the acquisition of the report data may beperformed in a similar manner with the acquisition of data (e.g., theindustry data) as described in connection with FIG. 5 , and thedescriptions thereof are not repeated here.

In 650, the server 130 may determine one or more conclusions based onthe report data. In some embodiments, a conclusion may be related to atrend for a specific business indicator or indicators over a specifiedperiod of time. For example, a conclusion may be that “Price of productA increases by 5% in 2018.” In some embodiments, a conclusion mayinclude a comparison between values of two or more business indicatorsacross the same time period and/or a comparison between values of a samebusiness indicator across two time segments across the same time period.For example, the conclusion may be that “The price of product A ishigher than the price of product B,” or “The price of product A ishighest among the prices of products A, B, and C.”

In some embodiments, a conclusion may be an alert. An alert may begenerated when one or more conditions (e.g., a user-defined condition orset of conditions) are satisfied. For instance, a condition may bedefined so that when the inventory of brand A shirts drops below 200units in a given week, the server 130 may produce a message alert. Insome embodiments, a conclusion may include an analysis result regardinga change of the value(s) of one or more business indicators. Forexample, a conclusion may describe a value change of a businessindicator over at least two time periods, which may indicate adifference of the business indicator in those time periods (e.g., adifference between the sales volume of textiles in this year and thesales volume of textiles in last year). Optionally, the conclusion maydescribe the value change of the business indicator over a day, week,month, quarter, year, or other defined period.

In some embodiments, a conclusion may be obtained using a trained model.In some embodiments, the trained model may be a convolutional neuralnetwork (CNN), a deep belief network (DBN), Stacked Auto-Encoders (SAE),a logistic regression (LR) model, a support vector machine (SVM), adecision tree model, a Naive Bayesian Model, a random forest model, aRestricted Boltzmann Machine (RBM), a Q-learning Model, or the like, ora combination thereof. In some embodiments, the CNN model may include atleast one of a convolutional layer, a Rectified Linear Unit (ReLU)layer, a fully connected layer or a pooling layer, or the like, or anycombination thereof. In some embodiments, a trained model may begenerated by training a preliminary model based on historical data.

In 660, the server 130 (e.g., the data analysis engine 330) may generatea report based on the report data, the one or more conclusions, and thereport template. The report may be a weekly report, a monthly report, anannual report, a comment report, an event review report, or the like, orany combination thereof, of a company, a link of an industry chain, orthe whole industry. In some embodiments, the report may include one ormore graphs and/or text description. In some embodiments, the report maybe updated when the data has changed, e.g., in real time. In someembodiments, the report may be editable. For example, a user may editthe report via a user application installed on a terminal (e.g., theterminal 140). In some embodiment, the user may add new content ordelete some content in the report. For example, the user may add a graphwhich is related to a trend of second-hand housing sales. As anotherexample, the user may add a comment regarding investment, a target priceof a stock, a forecast price of the stock, or the like, or anycombination thereof. In some embodiment, the user may set the format(e.g., a graph template, font, color, etc.) of the report. For example,the user may change a column graph of a trend of second-hand housingsales into a line graph.

In some embodiments, the server 130 (e.g., the data analysis engine 330)may add or delete the content (or dimensionality) in the reportautomatically based on the data acquired from the data storage engine310 or the network 110. In some embodiments, the server 130 (e.g., dataanalysis engine 330) may add or delete the content (or dimensionality)according to a big data analytics.

In some embodiments, the server 130 (e.g., the data analysis engine 330)may highlight a portion of the content in the report. The portion of thecontent may include information of interest to the user, a change in thereport compared with another report (e.g., a previous annual report),the scope of business of a company, earnings rate of a company, or thelike, or any combination thereof. In some embodiments, the highlightingof the change in the report may be implemented in a way of regularexpression matching. In some embodiments, the highlighting of theinformation of interest to the user may be implemented by a model (e.g.,a machine learning model). Merely by way of example, the model may beconvolutional neural network (CNN), deep belief network (DBN), StackedAuto-Encoders (SAE), logistic regression (LR) model, support vectormachine (SVM), decision tree model, Naive Bayesian Model, random forestmodel, or Restricted Boltzmann Machine (RBM), Q-learning Model, or thelike, or a combination thereof.

It should be noted that the above description is merely provided for thepurposes of illustration, and not intended to limit the scope of thepresent disclosure. For persons having ordinary skills in the art,multiple variations and modifications may be made under the teachings ofthe present disclosure. However, those variations and modifications donot depart from the scope of the present disclosure.

FIG. 7 is a schematic diagram illustrating an exemplary industry chaingraph 700 in a real estate industry according to some embodiments of thepresent disclosure. As shown in FIG. 7 , the real estate industry mayinclude one or more components 710-750. A building materials component710 and a natural resources and planning programming component 720 maybe in the upstream of the real estate industry. The building materialscomponent 710 may include steel, glass, zinc, cement, aluminum, or thelike, or any combination thereof. The natural resources and planningprogramming component 720 may include construction, design, land, or thelike, or any combination thereof. A funds component 730 may includebank, real estate company, consumer, or the like, or any combinationthereof. A real estate management component 740 may include apartmentmanagement, rent management, or the like, or any combination thereof. Aservices component 750 may be in the downstream of the real estateindustry. The service component 750 may include decoration service,intermediary service, property service, or the like, or any combinationthereof.

Having thus described the basic concepts, it may be rather apparent tothose skilled in the art after reading this detailed disclosure that theforegoing detailed disclosure is intended to be presented by way ofexample only and is not limiting. Various alterations, improvements, andmodifications may occur and are intended to those skilled in the art,though not expressly stated herein. These alterations, improvements, andmodifications are intended to be suggested by this disclosure and arewithin the spirit and scope of the exemplary embodiments of thisdisclosure.

Moreover, certain terminology has been used to describe embodiments ofthe present disclosure. For example, the terms “one embodiment,” “anembodiment,” and/or “some embodiments” mean that a particular feature,structure or characteristic described in connection with the embodimentis included in at least one embodiment of the present disclosure.Therefore, it is emphasized and should be appreciated that two or morereferences to “an embodiment,” “one embodiment,” or “an alternativeembodiment” in various portions of this specification are notnecessarily all referring to the same embodiment. Furthermore, theparticular features, structures or characteristics may be combined assuitable in one or more embodiments of the present disclosure.

Further, it will be appreciated by one skilled in the art, aspects ofthe present disclosure may be illustrated and described herein in any ofa number of patentable classes or context including any new and usefulprocess, machine, manufacture, or composition of matter, or any new anduseful improvement thereof. Accordingly, aspects of the presentdisclosure may be implemented entirely hardware, entirely software(including firmware, resident software, micro-code, etc.) or combiningsoftware and hardware implementation that may all generally be referredto herein as a “block,” “module,” “engine,” “unit,” “component,” or“system.” Furthermore, aspects of the present disclosure may take theform of a computer program product embodied in one or morecomputer-readable media having computer readable program code embodiedthereon.

A computer readable signal medium may include a propagated data signalwith computer readable program code embodied therein, for example, inbaseband or as part of a carrier wave. Such a propagated signal may takeany of a variety of forms, including electromagnetic, optical, or thelike, or any suitable combination thereof. A computer readable signalmedium may be any computer readable medium that is not a computerreadable storage medium and that may communicate, propagate, ortransport a program for use by or in connection with an instructionexecution system, apparatus, or device. Program code embodied on acomputer readable signal medium may be transmitted using any appropriatemedium, including wireless, wireline, optical fiber cable, RF, or thelike, or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of thepresent disclosure may be written in a combination of one or moreprogramming languages, including an object-oriented programming languagesuch as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB. NET,Python or the like, conventional procedural programming languages, suchas the “C” programming language, Visual Basic, Fortran 1703, Perl, COBOL1702, PHP, ABAP, dynamic programming languages such as Python, Ruby, andGroovy, or other programming languages. The program code may executeentirely on the user's computer, partly on the user's computer, as astand-alone software package, partly on the user's computer and partlyon a remote computer or entirely on the remote computer or server. Inthe latter scenario, the remote computer may be connected to the user'scomputer through any type of network, including a local area network(LAN) or a wide area network (WAN), or the connection may be made to anexternal computer or in a cloud computing environment or offered as aservice such as a software as a service (SaaS).

Furthermore, the recited order of processing elements or sequences, orthe use of numbers, letters, or other designations, therefore, is notintended to limit the claimed processes and methods to any order exceptas may be specified in the claims. Although the above disclosurediscusses through various examples what is currently considered to be avariety of useful embodiments of the disclosure, it is to be understoodthat such detail is solely for that purpose and that the appended claimsare not limited to the disclosed embodiments, but, on the contrary, areintended to cover modifications and equivalent arrangements that arewithin the spirit and scope of the disclosed embodiments. For example,although the implementation of various components described above may beembodied in a hardware device, it may also be implemented as asoftware-only solution—e.g., an installation on an existing server ormobile device.

Similarly, it should be appreciated that in the foregoing description ofembodiments of the present disclosure, various features are sometimesgrouped together in a single embodiment, figure, or description thereoffor the purpose of streamlining the disclosure aiding in theunderstanding of one or more of the various embodiments. This method ofdisclosure, however, is not to be interpreted as reflecting an intentionthat the claimed subject matter requires more features than areexpressly recited in each claim. Rather, claimed subject matter may liein less than all features of a single foregoing disclosed embodiment.

What is claimed is:
 1. A system for generating a report, comprising: atleast one non-transitory storage medium including a set of instructions;and at least one processor in communication with the at least onenon-transitory storage medium, wherein when executing the set ofinstructions, the at least one processor is configured to direct thesystem to: acquire a key word related to an industry field; determineone or more components in an industry chain of the industry field by:determining one or more synonyms of the key word related to the industryfield; determining a key word group related to the industry field basedon the key word and the one or more synonyms of the key word; andretrieving and analyzing information related to the key word group ofthe industry field to determine the one or more components; acquire oneor more condition values related to a report to be generated associatedwith the one or more components in the industry chain; determine areport template having one or more data query sections and one or moreconclusion sections based on the industry field and the one or morecondition values; acquire report data based on the one or more dataquery sections of the report template; determine one or more conclusionsbased on the report data; generate the report based on the acquiredreport data, the one or more conclusions, and the report template,wherein the report is editable; receive an instruction to edit thereport from a user terminal, the instruction including at least one ofadding new data or deleting displayed data displayed via the userterminal; and update the report in response to the instruction in realtime.
 2. The system of claim 1, wherein the at least one processor isfurther configured to direct the system to: highlight a portion of thecontent in the report based on the one or more conclusions.
 3. Thesystem of claim 1, wherein at least one of the one or more conclusionsis determined based on a trend of a business indicator over a period oftime.
 4. The system of claim 1, wherein at least one of the one or moreconclusions is determined based on a comparison between a plurality ofbusiness indicators across a same time period.
 5. The system of claim 1,wherein at least one of the one or more condition values is related to atime range or a type of the report to be generated.
 6. The system ofclaim 1, wherein at least one of the one or more conclusions includes analert, and to generate the at least one conclusion, the at least oneprocessor is further configured to direct the system to: determine,based on the report data, whether a condition regarding the alert issatisfied; and in response to a determination that the conditionregarding the alert is satisfied, generate the at least one conclusionthat includes the alert.
 7. The system of claim 1, wherein at least oneof the one or more conclusion is generated based on a trained model. 8.The system of claim 1, wherein the adding new data includes at least oneof: adding a graph related to a trend of housing sales, or adding acomment regarding at least one of investment, a target price of a stock,or a forecast price of the stock.
 9. The system of claim 1, wherein theat least one processor is configured to direct the system further to:add or delete data in the report automatically based on newly acquireddata.
 10. A method for generating a report implemented on a computingdevice having at least one processor and at least one storage device,the method comprising: acquiring a key word related to an industryfield; determining one or more components in an industry chain of theindustry field by: determining one or more synonyms of the key wordrelated to the industry field; determining a key word group related tothe industry field based on the key word and the one or more synonyms ofthe key word; and retrieving and analyzing information related to thekey word group of the industry field to determine the one or morecomponents; acquire one or more condition values related to a report tobe generated associated with the one or more components in the industrychain; determining a report template having one or more data querysections and one or more conclusion sections based on the industry fieldand the one or more condition values; acquiring report data based on theone or more data query sections of the report template; determining oneor more conclusions based on the report data; generating the reportbased on the acquired report data, the one or more conclusions, and thereport template, wherein the report is editable; receiving aninstruction to edit the report from a user terminal, the instructionincluding at least one of adding new data or deleting displayed datadisplayed via the user terminal; and updating the report in response tothe instruction in real time.
 11. The method of claim 10, furthercomprising: highlighting a portion of the content in the report based onthe one or more conclusions.
 12. The method of claim 10, wherein atleast one of the one or more conclusions is determined based on a trendfor a business indicator over a period of time.
 13. The method of claim10, wherein at least one of the one or more conclusions is determinedbased on a comparison between a plurality of business indicators acrossa same time period.
 14. The method of claim 10, wherein at least one ofthe one or more condition values is related to a time range or a type ofthe report to be generated.
 15. The method of claim 10, wherein at leastone of the one or more conclusions includes an alert, and the generatingthe at least one conclusion comprises: determining, based on the reportdata, whether a condition regarding the alert is satisfied; and inresponse to a determination that the condition regarding the alert issatisfied, generating the at least one conclusion that includes thealert.
 16. The method of claim 10, wherein at least one of the one ormore conclusions is generated based on a trained model.
 17. Anon-transitory computer readable medium, comprising a set ofinstructions for generating a report, wherein when executed by at leastone processor, the set of instructions direct the at least one processorto effectuate a method, the method comprising: acquiring a key wordrelated to an industry field; determining one or more components in anindustry chain of the industry field by: determining one or moresynonyms of the key word related to the industry field; determining akey word group related to the industry field based on the key word andthe one or more synonyms of the key word; and retrieving and analyzinginformation related to the key word group of the industry field todetermine the one or more components; acquire one or more conditionvalues related to a report to be generated associated with the one ormore components in the industry chain; determining a report templatehaving one or more data query sections and one or more conclusionsections based on the industry field and the one or more conditionvalues; acquiring report data based on the one or more data querysections of the report template; determining one or more conclusionsbased on the report data; and generating the report based on theacquired report data, the one or more conclusions, and the reporttemplate, wherein the report is editable; receiving an instruction toedit the report from a user terminal, the instruction including at leastone of adding new data or deleting displayed data displayed via the userterminal; and updating the report in response to the instruction in realtime.
 18. The non-transitory computer readable medium of claim 17,wherein the method further comprises: highlighting a portion of thecontent in the report based on the one or more conclusions.
 19. Thenon-transitory computer readable medium of claim 17, wherein at leastone of the one or more conclusions is determined based on a trend for abusiness indicator over a period of time.
 20. The non-transitorycomputer readable medium of claim 17, wherein at least one of the one ormore conclusions is determined based on a comparison between a pluralityof business indicators across a same time period.